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Bike Rental Sharing Demand Prediction with Machine Learning
  • Level Foundation
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About

In this 1-hour long project-based course, you will learn how to predict bike sharing demand with machine learning. Bike sharing services enable people to rent a bike from one location and drop it off at another location on an as-needed basis. The objective of this guided project is to predict bike sharing rental usage based on inputs such as temperature, season, humidity, wind speed. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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Discover how to predict bike sharing demand using machine learning in this engaging 1-hour project-based course. Perfect for beginners in Data Science & AI, you'll learn practical skills to enhance bike rental services. Taught by Coursera, available with Starter or Professional subscriptions. Ideal for those looking to build a strong foundation in predictive analytics.